Presentation | 2005/10/10 Evolution of Communication by Using Common Symbol Norikazu SUGIMOTO, Kenji DOYA, Mitsuo KAWATO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Many cognitive functions, such as inference and prediction, require the ability to classify or build symbols of the external environment and state of body. Sharing such high order information with others may be critical for social behaviour to work. While the mental representations among individuals are different, it is necessary to have common symbols for effective communication. In this study, we propose a framework to create common symbols between agents. We verify its validity by simulations of a cooperative task. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Reinforcement learning / Hierarchical architecture / Modular architecture / Continuous system / Symbolic communication |
Paper # | NC2005-44 |
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Committee | NC |
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Conference Date | 2005/10/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Evolution of Communication by Using Common Symbol |
Sub Title (in English) | |
Keyword(1) | Reinforcement learning |
Keyword(2) | Hierarchical architecture |
Keyword(3) | Modular architecture |
Keyword(4) | Continuous system |
Keyword(5) | Symbolic communication |
1st Author's Name | Norikazu SUGIMOTO |
1st Author's Affiliation | ATR Computational Neuroscience Laboratories(CNS):Nara Institute of Science and Technology() |
2nd Author's Name | Kenji DOYA |
2nd Author's Affiliation | ATR Computational Neuroscience Laboratories(CNS):Nara Institute of Science and Technology:Initial Research Project-Doya Unit, Okinawa Institute of Science and Technology |
3rd Author's Name | Mitsuo KAWATO |
3rd Author's Affiliation | ATR Computational Neuroscience Laboratories(CNS):Nara Institute of Science and Technology |
Date | 2005/10/10 |
Paper # | NC2005-44 |
Volume (vol) | vol.105 |
Number (no) | 341 |
Page | pp.pp.- |
#Pages | 6 |
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